Fast or real-time predictions of mechanical responses are fundamental for multiple engineering applications. Notable examples can be found in the field of robotics [1]}, [2]} or medical simulations [3]}, [4]}, [5]}, [6]}, that are promising progress in personalized medicine and advanced computer-assisted- or robotic surgery [7]}, [8]}. In many cases, the necessary accuracy of prediction requires complex models that can be generally expressed through partial differential equations and solved numerically, e.g., with the finite element method (FEM). However, those high-fidelity computational models are usually too slow for real-time purposes, and the necessary speed-up is achieved by developing surrogate models.
